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Haotian Jiang, Yin Tat Lee and Santosh S. Vempala Lecture Notes in Mathematics, Geometric Aspects of Functional Analysis 2266 1 (2020) https://doi.org/10.1007/978-3-030-46762-3_1
Unraveling the Veil of Subspace RIP Through Near-Isometry on Subspaces
Zakhar Kabluchko, Joscha Prochno and Christoph Thäle Annales de l'Institut Henri Poincaré, Probabilités et Statistiques 56(2) (2020) https://doi.org/10.1214/19-AIHP989
On the convergence of the extremal eigenvalues of empirical covariance matrices with dependence
From <i>E</i> = <i>mc</i><sup>2</sup> to <i>E</i> = <i>mc</i><sup>2</sup>/22—A Short Account of the Most Famous Equation in Physics and Its Hidden Quantum Entanglement Origin
Analysis and Geometry of Markov Diffusion Operators
Dominique Bakry, Ivan Gentil and Michel Ledoux Grundlehren der mathematischen Wissenschaften, Analysis and Geometry of Markov Diffusion Operators 348 177 (2014) https://doi.org/10.1007/978-3-319-00227-9_4